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Artificial Intelligence (AI) in Construction Strategic

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Dublin, Sept. 12, 2025 (GLOBE NEWSWIRE) — The “Artificial Intelligence (AI) in Construction – Global Strategic Business Report” report has been added to ResearchAndMarkets.com’s offering.

The global market for Artificial Intelligence (AI) in Construction was estimated at US$2.4 Billion in 2024 and is projected to reach US$12.1 Billion by 2030, growing at a CAGR of 31.0% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions.

Artificial intelligence is revolutionizing the construction industry, introducing advanced automation, predictive analytics, and precision management that are fundamentally changing how projects are planned, executed, and maintained. AI is employed in construction operations to streamline project management, automate repetitive tasks, and enhance on-site safety. One primary application is in project planning and scheduling, where AI algorithms analyze historical project data to create realistic timelines and anticipate potential delays, enabling better resource allocation and cost control.

What Factors Are Driving the Growth of AI in the Construction Market?

The growth in the AI in construction market is driven by several factors, including advancements in digital technology, the demand for efficiency and sustainability, and evolving industry regulations. One of the primary drivers is the rapid development of AI technology, which has lowered costs and made these tools more accessible to construction firms of all sizes. The increasing adoption of cloud computing and edge processing allows construction sites to leverage real-time data analysis, supporting advanced AI applications on-site without requiring extensive infrastructure investments.

Another key factor is the industry’s need to address labor shortages and rising labor costs; AI-driven robotics and automation help fill this gap by performing tasks that are labor-intensive, allowing firms to complete projects faster and with fewer resources. The growing focus on sustainability in construction, driven by regulatory requirements and consumer demand for environmentally friendly practices, is also propelling AI adoption. AI-powered design tools, energy-efficient material recommendations, and predictive maintenance of building systems align with these sustainability goals.

Additionally, heightened health and safety regulations are pushing companies to adopt AI for proactive safety management, as AI-based monitoring can improve compliance with evolving standards. Together, these technological, economic, and regulatory factors are driving AI integration in construction, making it an indispensable component in modernizing an industry that faces unique challenges in efficiency, safety, and sustainability.

What Role Does AI Play in Enhancing Safety on Construction Sites?

AI is significantly improving safety on construction sites, an area where risks are high and rapid response is critical. Through the use of computer vision and real-time data analytics, AI systems can monitor on-site activities, identify hazards, and enforce safety protocols automatically. For instance, cameras powered by AI can detect when workers are not wearing required safety gear, like helmets or harnesses, and send real-time alerts to supervisors to take corrective actions.

Similarly, AI algorithms analyze movement patterns on-site to identify potentially unsafe behavior, like workers entering restricted zones or heavy machinery operating too close to foot traffic, reducing the likelihood of accidents. Predictive analytics are also employed to evaluate safety risks based on historical data, such as accident records and environmental factors, helping managers take preventative measures to address high-risk areas before incidents occur.

Additionally, AI-powered wearables monitor workers’ health indicators, such as heart rate and fatigue levels, and issue alerts when thresholds are crossed, reducing the risk of incidents related to overexertion. By enhancing hazard detection, real-time monitoring, and proactive risk management, AI is playing a crucial role in transforming construction site safety, potentially reducing the industry’s historically high accident rates and fostering a safer work environment.

How Is AI Influencing Design and Project Efficiency in Construction?

AI is enhancing design processes and project efficiency in construction by enabling data-driven decision-making and providing innovative tools that support more accurate and sustainable designs. Architects and engineers are increasingly turning to AI-powered generative design, which explores multiple design permutations based on specific constraints like materials, structural load, and environmental impact. This process produces optimized designs that align with aesthetic and functional requirements while maximizing material efficiency and sustainability.

Furthermore, AI is instrumental in assessing environmental impact, simulating building performance under various conditions, and recommending materials that reduce carbon footprint, aligning with the construction industry`s growing emphasis on sustainable practices. In project execution, AI-driven robotics and autonomous machinery are deployed for repetitive tasks such as bricklaying, concrete pouring, and earth-moving, allowing skilled workers to focus on more complex activities. This improves project efficiency by accelerating construction timelines and reducing labor costs, which is particularly valuable given the labor shortages facing the industry.

Additionally, AI in Building Information Modeling (BIM) allows for better coordination between architects, engineers, and contractors by integrating real-time data updates and clash detection, preventing costly rework and improving project collaboration. Together, these AI applications are driving efficiency in the design and construction process, ultimately supporting more sustainable, high-quality building outcomes.

Report Features:

  • Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ Million from 2024 to 2030.
  • In-Depth Regional Analysis: Detailed insights into key markets, including the U.S., China, Japan, Canada, Europe, Asia-Pacific, Latin America, Middle East, and Africa.
  • Company Profiles: Coverage of players such as Alice Technologies, Askporter, Assignar, Aurora Computer Services, Autodesk and more.
  • Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.

Key Insights:

  • Market Growth: Understand the significant growth trajectory of the Solutions segment, which is expected to reach US$8.0 Billion by 2030 with a CAGR of a 30.5%. The Services segment is also set to grow at 32.1% CAGR over the analysis period.
  • Regional Analysis: Gain insights into the U.S. market, valued at $713.7 Million in 2024, and China, forecasted to grow at an impressive 29.8% CAGR to reach $1.8 Billion by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.

Scope of the Study

  • Segments: Component (Solutions, Services); Stage (Pre-Construction, Construction-Stage, Post-Construction); Application (Project Management, Asset Management, Risk Management, Other Applications); End-Use (Heavy Construction, Residential, Public Infrastructure, Other End-Uses)
  • Geographic Regions/Countries: World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Key Attributes:

Report Attribute Details
No. of Pages 198
Forecast Period 2024 – 2030
Estimated Market Value (USD) in 2024 $2.4 Billion
Forecasted Market Value (USD) by 2030 $12.1 Billion
Compound Annual Growth Rate 31.0%
Regions Covered Global

Key Topics Covered:

MARKET OVERVIEW

  • Influencer Market Insights
  • Tariff Impact on Global Supply Chain Patterns
  • Global Economic Update
  • Artificial Intelligence (AI) in Construction – Global Key Competitors Percentage Market Share in 2025 (E)
  • Competitive Market Presence – Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E)

MARKET TRENDS & DRIVERS

  • Rising Demand for Automation and Efficiency Drives Growth of AI in Construction
  • Increasing Focus on Safety and Risk Management Spurs Adoption of AI-Powered Solutions
  • Here`s How Predictive Analytics in AI Reduces Project Delays and Enhances Construction Planning
  • Growing Use of Drones and AI for Site Monitoring Expands Market for AI in Construction
  • Technological Advancements in Machine Learning Enhance Accuracy in Construction Quality Control
  • Rising Labor Shortages Drive Demand for AI and Robotics in Construction Automation
  • Here`s How BIM (Building Information Modeling) Integration Expands Scope of AI in Construction Projects
  • Growing Adoption of Smart and Sustainable Building Practices Supports AI in Green Construction
  • Focus on Reducing Waste and Enhancing Resource Management Propels AI-Driven Efficiency Solutions
  • Increasing Investment in Digital Twin Technology Boosts AI Applications for Real-Time Construction Insights
  • Here`s How AI-Powered Safety Monitoring Systems Enhance Worker Safety in High-Risk Environments
  • Growing Application of Computer Vision in Site Surveillance and Quality Inspection Fuels Market Growth
  • Advances in Predictive Maintenance for Construction Equipment Support Long-Term AI Integration
  • Rising Demand for Cost Optimization and Budget Forecasting Expands Use of AI in Construction Management
  • Focus on Data-Driven Decision Making Sustains Long-Term Growth in AI-Powered Construction Analytics

FOCUS ON SELECT PLAYERS:Some of the 251 companies featured in this Artificial Intelligence (AI) in Construction market report

  • Alice Technologies
  • Askporter
  • Assignar
  • Aurora Computer Services
  • Autodesk
  • Bentley Systems
  • Beyond Limits
  • Building System Planning
  • Coins Global
  • DarKTrace
  • Deepomatic
  • Doxel
  • eSUB
  • IBM
  • Jaroop
  • Lili.Ai
  • Microsoft
  • Oracle
  • Plangrid
  • Predii
  • Renoworks Software
  • SAP
  • SmarTVid.Io

For more information about this report visit https://www.researchandmarkets.com/r/i6kfd4

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world’s leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.


            



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Palantir, a leading artificial intelligence (AI) software company, is emerging as a major U.S. stock..

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Palantir, a leading artificial intelligence (AI) software company, is emerging as a major U.S. stock favored by Koreans. [Photo source = Yonhap News]

Palantir, a leading artificial intelligence (AI) software company, is emerging as a major U.S. stock favored by Koreans.

According to the Korea Securities Depository on the 13th, the value of Palantir shares (storage) held by domestic investors reached $5.85 billion (8.1329 trillion won) as of the 10th, making it the third-largest foreign stock after Tesla and Nvidia.

At the beginning of this year, Palantir ranked eighth in storage, but it jumped five spots in just nine months. Storage increased by about 2.5 times from $2.3 billion.

Palantir is a company that sells advanced AI services to the military, government, companies, and intelligence agencies. The main goal is to help AI analyze vast and diverse data within the organization to find specific patterns and predict the future to make wise decisions.

In Korea, companies such as HD Hyundai Infracore and Samyang Foods use Palantir systems.

Palantir signed a contract with the U.S. Army last month worth up to $10 billion (W13.8 trillion) over the next decade, making it one of the largest Pentagon software contracts in U.S. history.

Palantir’s stock price more than doubled from 75.63 dollars (105,000 won) at the end of last year to 164 dollars (227,000 won) as of the 12th.

In the second quarter of this year, it exceeded $1 billion in sales for the first time ever and posted a net profit of $0.16 per share.



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CEO of company behind Harwood AI data center answers commonly asked questions

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HARWOOD, N.D. — As a Texas company prepares to break ground this month on a

$3 billion artificial intelligence data center

north of Fargo, readers have asked several questions about the facility.

The Forum spoke this week with Applied Digital Chairman and CEO Wes Cummins about the 280-megawatt facility planned for east of Interstate 29 between Harwood, North Dakota, and Fargo. The 160-acre center will sit on 925 acres near the Fargo Park District’s North Softball Complex.

The Harwood City Council voted unanimously on Wednesday, Sept. 10, to rezone the land for the center from agricultural to light industrial. With the vote also came final approval of the building permit for the center, meaning Applied Digital can break ground on the facility this month.

“We’re grateful for the City of Harwood’s support and look forward to continuing a strong partnership with the community as this project moves ahead,” Cummins said after the vote.

Applied Digital CEO and Chairman Wes Cummins talks about his company and its plans for Harwood, North Dakota, during a meeting on Tuesday, Sept. 2, 2025, at the Harwood Community Center.

Alyssa Goelzer / The Forum

Applied Digital plans to start construction this month and open partially by the end of 2026. The facility should be fully operational by early 2027, the company said.

The project should create 700 construction jobs while the facility is built, Applied Digital said. The center will need more than 200 full-time employees to operate, the company said. The facility is expected to generate tax revenue and economic growth for the area, but those estimates have not been disclosed.

The facility has generated

questions and protest.

Here are some questions readers had about the facility.

What will the AI data center be used for?

Applied Digital said it develops facilities that provide “high-performance data centers and colocations solutions for artificial intelligence, cloud, networking, and blockchain industries.” AI is used to run applications that make computers functional, Cummins said.

“ChatGPT runs in a facility like this,” he said. “There’s just enormous amounts of servers that can run GPUs (graphic processing units) inside of the facility and can either be doing training, which is making the product, or inference, which is what happens when people use the product.”

081825.N.FF.HarwoodDataCenter

Applied Digital’s $3 billion data center will be constructed just southeast of the town of Harwood, North Dakota.

Map by The Forum

Applied Digital hasn’t announced what tenants would use Polaris Forge 2, the name for the Harwood facility. At a Harwood City Council meeting, Cummins said the company markets to companies in the U.S. like Google, Meta, Amazon and Microsoft.

“The demand for AI capacity continues to accelerate, and North Dakota continues to be one of the most strategic locations in the country to meet that need,” he said. “We have strong interest from multiple parties and are in advanced negotiations with a U.S. based investment-grade hyperscaler for this campus, making it both timely and prudent to proceed with groundbreaking and site development.”

AI data centers need significant amounts of electricity to operate, Cummins said. Other centers have traditionally been built near heavily populated areas, but that isn’t necessary, he said.

North Dakota produces enough energy to export it out of state, Cummins said. The Fargo area also has the electrical grid in place to connect to that energy, he said.

“A lot of North Dakotans, especially the leaders of North Dakota, want to better utilize the energy produced by North Dakota for economic benefit inside of the state versus exporting it to neighboring states or to Canada,” he said.

North Dakota’s cold climate much of the year also will keep the center cooler than in states like Texas, meaning the facility will use significantly less power than in warmer states, Cummins said.

“We get much more efficiency out of the facility,” he said. “Those aspects make North Dakota, in my opinion, an ideal place for this type of AI infrastructure.”

A foreground of a leafy crop stretches toward the horizon, where metal grain elevators and metal storage buildings stand against a gray sky.

The Harwood, North Dakota, elevator on Thursday, Aug. 28, 2025, looms behind the land designated for the construction of Applied Digital’s 280-megawatt data center.

David Samson / The Forum

How much water will the center use?

Cummins acknowledged other AI data centers around the world use millions of gallons of water a day. Applied Digital designed a closed-loop system so the North Dakota centers use as little water as possible, Cummins said.

He compared the cooling system to a car radiator. The centers will use glycol liquid to run through the facilities and servers, Cummins said. After cooling the equipment, the liquid goes through chillers, much like a heat pump outside of a house. Once cooled, the liquid will recirculate on a continuous loop, he said.

People who operate the facility will use water for bathroom breaks and drinking, much like a person in a house or a car, he said.

“The data center, even with the immense size, we expect it to use the same amount of water as roughly a single household,” he said. “The reason is the people inside.”

090425.N.FF.HarwoodAI

Duncan Alexander and dog Valka protest a proposed AI data center before a Planning and Zoning meeting on Tuesday, Sept. 2, 2025, in Harwood, North Dakota.

Alyssa Goelzer / The Forum

Will the AI center increase electricity rates?

Applied Digital claims that electricity rates will not go up for local residents because of the data center.

“Data centers pay a large share of fixed utility costs, which helps spread expenses across more users,” the company said.

Applied Digital’s center in Ellendale, North Dakota, much like the one to be built in Harwood, uses power produced in the state, Cummins said. The Ellendale center, which runs on about 200 megawatts a year, saved ratepayers $5.3 million in 2023 and $5.7 million last year, he said.

“Utilizing the infrastructure more efficiently can actually drive rates down,” Cummins said, adding he expects rate savings for Harwood as well.

How much noise will the center make?

Applied Digital’s concrete walls should content the noise from computers, Cummins said. What residents will hear is fan noise from heat pumps used to cool the facility, he said.

“It will sound like the one that runs outside of your house,” he said in describing that the facility will create minimal noise.

The loudest noise will be construction of the facility, Cummins said.

The facility only will cover 160 acres, but Applied Digital is buying 925 acres of land, with the rest of the space serving as a sound buffer, he said. People who live nearby may hear some sound, he acknowledged.

“If you’re a half mile or more from the facility, you will very unlikely hear anything,” he said.

About 300 people showed up to a town hall meeting on Monday, Aug. 25, 2025, at the Harwood Community Center to listen and to discuss a new AI data center that is planned to be built in Harwood.

About 300 people showed up to a town hall meeting on Monday, Aug. 25, 2025, at the Harwood Community Center to listen and to discuss a new AI data center that is planned to be built in Harwood, North Dakota.

Chris Flynn / The Forum

Has Applied Digital conducted an environmental study?

The facility won’t create emissions or other hazards that would require an environmental impact study, Cummins said.

Why move so fast to approve the facility?

Some have criticized Applied Digital and the Harwood City Council for pushing the approval process so quickly. Applied Digital announced the project in mid-August, and the city approved it in less than a month.

Cummins acknowledged that concern but noted the industry is moving fast. The U.S. is competing with China to create artificial intelligence, an industry that is not going away, Cummins said.

“I do believe we are in a race in the world for super intelligence,” he said. “It’s a race amongst companies in the U.S., but it’s also a race against other countries. … I do think it’s very important the U.S. win this AI race to super intelligence and then to artificial general intelligence.”

Applied Digital said it wanted to finish foundation and grading work on the project before winter sets in, meaning it needed an expedited approval timeline.

People in Harwood have shown overwhelming support, Cummins said, adding that protesters mostly came from other cities.

“I can’t think of a project that would spend this amount of money and have this kind of economic benefit for a community and a county and a state and have this low of a negative impact,” he said. “I think these types of projects are fantastic for these types of communities.”





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AI slop is on the rise — what does it mean for how we use the internet?

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You’ve probably encountered images in your social media feeds that look like a cross between photographs and computer-generated graphics. Some are fantastical — think Shrimp Jesus — and some are believable at a quick glance — remember the little girl clutching a puppy in a boat during a flood?

These are examples of AI slop, low- to mid-quality content — video, images, audio, text or a mix — created with AI tools, often with little regard for accuracy. It’s fast, easy and inexpensive to make this content. AI slop producers typically place it on social media to exploit the economics of attention on the internet, displacing higher-quality material that could be more helpful.



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